Innovation

Cardiovolt.ai transforms heart rhythm data into powerful diagnostic tools

Developed by our researchers, Cardiovolt.ai is translating advances in heart rhythm analysis into real-world diagnostic tools, supporting earlier detection and improved treatment of cardiovascular disease.

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Section Leadership

Heads of Section

  • Tristan Rodriguez (Non-Clinical) 
  • Fu Siong Ng (Clinical) 

Section Leads

  • People and Culture Lead: Prashant Srivastava 
  • Education Lead: Leanne Felkin
  • Research Lead: Michela Noseda
    • Deputy: Paz Tayal

Cardiovascular disease remains a major global health challenge, accounting for more than one in four deaths in the UK. Our research addresses this challenge by uncovering the mechanisms that drive disease, identifying new therapeutic opportunities and developing innovative approaches to prevention, diagnosis and treatment. 

Bringing together expertise across molecular and cellular biology, engineering, data science and clinical research enables us to translate discovery into real-world impact – improving understanding of disease and delivering tangible benefits for patients and healthcare systems. 

Our work spans: 

  • Cardiac electrophysiology and arrhythmia 
  • Imaging and diagnostics 
  • Stem cell and regenerative medicine 
  • Computational and data-driven cardiology 
  • Cardiovascular immunology 

Cardiac Science team members

Mr Yuzhang Ge

Mr Yuzhang Ge
Research Associate in Computational Modelling

Dr Danika M Hayman

Dr Danika M Hayman
Research Associate

Ms Anna Hekkink

Ms Anna Hekkink
Research Assistant

Dr Jiayu Huo

Dr Jiayu Huo
Research Associate in AI and Machine Learning

Dr Aleksandra Judina

Dr Aleksandra Judina
Research Associate

Dr Fatemeh Kermani

Dr Fatemeh Kermani
Research Associate

Dr Gul Rukh Khattak

Dr Gul Rukh Khattak
Post-doctoral research associate in artificial intelligence